APOLLO GROUP                            
                             LINEAR REGRESSION EQUATION FITTED TO DATA FOR ANNUAL REVENUES      
        Annual Revenues, Forecast       Std, Fcst.      80% Confidence Limits  
        $ million Error, X-XM, Error, SFE Minimum Maximum  
Year X X^2   Data Forecast $ million years $ million $ million $ million  
2000 0 0 $609,997 $462,742 $147,255 -3 $140,109 $255,957 $669,527  
2001 1 1 $769,474 $796,869 -$27,395 -2 $131,288 $603,103 $990,636  
2002 2 4 $1,009,455 $1,130,997 -$121,542 -1 $125,699 $945,480 $1,316,514  
2003 3 9 $1,339,517 $1,465,124 -$125,607 0 $123,780 $1,282,440 $1,647,809  
2004 4 16 $1,798,423 $1,799,252 -$829 1 $125,699 $1,613,735 $1,984,769  
2005 5 25 $2,251,472 $2,133,380 $118,092 2 $131,288 $1,939,613 $2,327,146  
2006 6 36   $2,477,533 $2,467,507 $10,026 3 $140,109 $2,260,722 $2,674,292  
2007 7 49   $2,801,635   4 $151,599 $2,577,893 $3,025,377  
2008 8 64   $3,135,762   5 $165,201 $2,891,945 $3,379,580  
          Average Error  $0   Student's t =   1.4759  
Sum of Squares of Errors             67,031,296,739  
Model's Standard Error of Estimate   $                 115,785.4  
 
 
 
 
 
 
Intercept, $ million 462741.71  
Slope, $ million/year 334127.57  
Coeff. Of Correlation, R 0.98945  
Coeff. Of Determination, R^2 0.97901  
 
 LINEST Output for Linear Model  
334127.57 462741.71  
21881.3843 78894.4529  
0.97901 115785.4  
233.17127 5  
3.12595E+12       67,031,296,739  
 
                    Model Specification:  
Y= 462741.71 + 334127.57*X    
where Y = annual revenue, $ million  
    and X = number of years since 2000 (i.e., X=0  
         for 2000, 1 for 2001, 2 for 2002, etc.)  
Model's standard error of estimate = $115,785.4